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arXiv 1707.04728quant-ph
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量子信息理论的新逻辑基础--量子逻辑信息论导论

New Logical Foundations for Quantum Information Theory: Introduction to Quantum Logical Information Theory

David Ellerman

摘要:

逻辑信息论是划分逻辑的定量版本,就像逻辑概率论是子集的对偶布尔逻辑的定量版本一样。由此产生的信息概念是关于区别、差异和可区分性的,并使用分区(由分区区分的一对点)的区别(“dits”)来形式化。Shannon信息论的简单熵、联合熵、条件熵和互熵的所有定义都是从逻辑层次上的相应定义通过统一变换导出的。本文的目的是给出量子逻辑信息论的直接推广,该理论同样关注由可观察到的特征态对,即,一个观察者的量。量子逻辑熵和测量的基本定理建立了一个直接的定量关系,即由投影测量引起的量子逻辑熵的增加和由测量区分的本征态(在被测量的纯叠加态中相干在一起)(测量后混合态中的退相干)之间的联系。逻辑熵的经典和量子版本都有简单的解释,即区分的“两次抽取”概率。结果表明,量子逻辑熵是量子信息理论研究量子态的简单而自然的信息概念。

英文摘要:

Logical information theory is the quantitative version of the logic of partitions just as logical probability theory is the quantitative version of the dual Boolean logic of subsets. The resulting notion of information is about distinctions, differences, and distinguishability, and is formalized using the distinctions (`dits') of a partition (a pair of points distinguished by the partition). All the definitions of simple, joint, conditional, and mutual entropy of Shannon information theory are derived by a uniform transformation from the corresponding definitions at the logical level. The purpose of this paper is to give the direct generalization to quantum logical information theory that similarly focuses on the pairs of eigenstates distinguished by an observable, i.e., qudits of an observable. The fundamental theorem for quantum logical entropy and measurement establishes a direct quantitative connection between the increase in quantum logical entropy due to a projective measurement and the eigenstates (cohered together in the pure superposition state being measured) that are distinguished by the measurement (decohered in the post-measurement mixed state). Both the classical and quantum versions of logical entropy have simple interpretations as "two-draw" probabilities for distinctions. The conclusion is that quantum logical entropy is the simple and natural notion of information for quantum information theory focusing on the distinguishing of quantum states.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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